- Company Name
- Halian
- Job Title
- Data Engineer – Identity & Access Management (IdAM) (m/f/d)
- Job Description
-
Job title: Data Engineer – Identity & Access Management (IdAM)
Role Summary: Design, construct, and maintain production-grade data pipelines, scripts, and relational database objects that support identity governance, access control, and security analytics. Build integrated data models that adhere to governance and quality standards, document technical solutions, and collaborate with stakeholders to deliver secure, operational data services.
Expectations: Deliver reliable, scalable data solutions within Agile frameworks; ensure compliance with data security policies and regulatory requirements; continuously improve data quality and performance; proactively identify and mitigate security risks in design and implementation.
Key Responsibilities:
- Design, develop, and maintain end‑to‑end data pipelines, ETL processes, and automated scripts in cloud environments.
- Build and optimize relational database objects, data models, and schema to support IdAM use cases.
- Produce and maintain technical documentation: data models, ER diagrams, functional and technical designs.
- Support testing, quality assurance, and stakeholder feedback loops to validate solution readiness.
- Identify potential security and governance risks, propose mitigations, and coordinate escalation.
- Aid operational hand‑over, provide knowledge transfer, and support post‑deployment monitoring.
Required Skills:
- Minimum 5 years as a Data Engineer delivering production‑grade solutions.
- Strong data modeling, relational database design, and data architecture knowledge.
- Proficiency in scripting (Python, Bash, PowerShell) for data processing and automation.
- Hands‑on experience with ETL/integration platforms (e.g., Azure Data Factory, AWS Glue, Snowflake, dbt).
- Solid understanding of access control, identity-related data concepts, and security best practices.
- Experience in Agile delivery, collaboration, and clear communication.
- Ability to manage project documentation and run data quality checks.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related technical field.
- Certifications in data engineering or cloud platforms (e.g., AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, SnowPro Certification) preferred.